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Record W2040543989 · doi:10.1029/2007ja012263

Reply to comment by G. L. Siscoe and K. D. Siebert on “Polar cap voltage saturation”

2007· article· en· W2040543989 on OpenAlexaff
J. W. MacDougall, P. T. Jayachandran

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2007
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsUniversity of New BrunswickWestern University
Fundersnot available
KeywordsPolar capPhysicsIonosphereMagnetospherePolarMagnetohydrodynamicsSaturation (graph theory)Saturation currentGeophysicsCurrent (fluid)Computational physicsAtmospheric sciencesPlasmaVoltageAstronomyThermodynamics

Abstract

fetched live from OpenAlex

[1] In their comment on our recent paper [MacDougall and Jayachandran, 2006], Siscoe and Siebert [2007] conclude that MHD simulations reproduce polar cap voltage saturation without needing to include region 2 currents. Their comments emphasize the importance of understanding the cause of polar cap voltage saturation in magnetosphere-ionosphere coupling studies. As with many magnetospheric phenomena, this may involve more than one process. The MHD simulations find it difficult to include or reproduce the proper strength of region 2 currents. Thus the MHD simulations are at present incapable of showing what effects region 2 current has on most magnetospheric behavior. [2] This inability to properly model region 2 current seems very unfortunate. Early studies by Iijima and Potemra [1976] and Fujii et al. [1981] found that most region 1 current ended up as region 2 current and these findings accord with one of our recent studies (J. W. MacDougall and P. T. Jayachandran, Winter cross polar cap current estimation, submitted to Advances in Space Research, 2007) of the polar cap currents. Thus region 2 current is actually a major feature of the magnetospheric system, of comparable importance to region 1 for some processes. Moreover, most of the studies which showed voltage saturation effects were during storm conditions [Hairston et al., 2003; Ober et al., 2003]. Under storm conditions the region 2 current probably becomes an even more important part of the system since it is directly associated with ring current intensification. Good resolution results from the Iridium constellation of satellites [Anderson et al., 2002, 2007] should finally give us direct measurements of the region 2 currents for inclusion/comparison with MHD models. Although the MHD models show saturation without region 2 currents being properly modeled, the region 2 currents are such an important part of the magnetospheric system that one hopes that future MHD development will properly show the relative importance of enhanced region 2 current versus other processes in causing the polar cap voltage saturation. [3] Wolfgang Baumjohann thanks the reviewers for their assistance in evaluating this paper.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.296
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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